# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html


# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
# from pymongo import MongoClient
# import time
#
# client = MongoClient(host="localhost", port=27017)
#
# db = client["自己笔记本上爬取腾讯招聘"]
# collection = db[time.strftime("%Y-%m-%d")]


class TencentrecruitPipeline:
    def process_item(self, item, spider):
        # print(item)
        # collection.insert(dict(item))
        # print(f"爬虫的名字是{spider.__class__.__name__}")
        # return item
        pass
